Computational Architect

Jamshed V. Bhote

I build custom computational tools for architectural design, environmental analysis and project workflows.

The work spans design-option solvers, façade and environmental studies, geometry rationalisation, production automation and published research into multi-objective façade optimisation.

5
Computational Solvers
1
Published Paper
Track 01 — Computational Solvers

Computational solvers

Context and problem

Custom solvers for placing repeated elements, comparing daylight and solar exposure, and reading wind conditions during early design. Each tests options against defined geometry, boundary and environmental inputs.

Approach and scope

The tools are designed for rapid iterative exploration at an appropriate level of model resolution across Grasshopper and standalone Rhino workflows.

Circle coverage v5Daylight + UDI Solar radiation (GH)Radiation standalone (Rhino)Wind / Cp
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Track 02 — Research & Optimization

Multi-objective evolutionary optimization

Research question

How can competing environmental performance objectives in dynamic facades be evaluated through computational search rather than a single manually selected design outcome?

Method and relevance

One published review maps multi-objective façade-optimisation research through Scopus and VOSviewer. A separate submitted study tests static-fin geometry and glazing in a 470 m² hotel restaurant zone against cooling, solar gain, daylight and glare.

evolutionary algorithmsdynamic facadesmulti-objective optimization
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Research record

Environmental optimisation across two publication tracks.

Two research papers: one published record and one manuscript submitted to Next Energy, Elsevier, on combined façade-system optimisation.

FocusFaçade energy and daylight trade-offs
Track 03 — Studio Emergence / Professional Practice

Planning, drawing automation and constructability in practice.

Computational work developed within live architectural projects: planning studies, façade development and production workflows. Case Study 01: Constructability & Morphology Validation (Skyrise Project).

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Case Study 01 / Skyrise Project

Constructability & Morphology Validation

Developed the computational logic for complex podium morphology and crown arches.

  • The Reality: Translated 3D parametric curves into actionable fabrication data, making welding tolerances (e.g., 150mm vs 20mm inclines) and formwork reusability constraints explicit within the computational workflow.
  • The Output: Automated pipe unrolling, inclination calculation, and cross-checking systems to support fabrication review and handoff.
Site Reality: Formwork & Tolerance Validation
Site Reality: Formwork & Tolerance Validation
Parametric Model vs. As-Built Reality
Parametric Model vs. As-Built Reality
Track 04 — Custom Workflow Tools

Self-developed tools for repeatable geometry, drawing and input workflows.

Rhino Python and AutoHotkey tools automate repeated architectural production tasks: model cleanup, geometry auditing, drawing-sheet preparation, view export and context-aware shortcuts.

Custom workflow tools / Rhino Python
System scope

Model cleanup, geometry auditing, object analysis, quantity extraction and batch or view export are presented here as one working toolkit.

Rhino Python tools

Rhino Python commands for document cleanup, auditing, polygon reduction, quantity extraction and batch export.

Make2D CleanupPDF Sheet Workflow Doctor suiteHeavy FinderViews export
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Rhino doclayers / objectsViews / picksgeometryCleanMake2DAuditrank / checkPDFsheet set / export
Custom workflow / Tool page

AutoHotkey Scripts

Context-aware input systems connecting Rhino, Grasshopper and AutoCAD through shortcut chords, shared state and coordinated scripts.

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